Applications of DEA
Ganesha H.S.1, L.K. Vaswani2, Rabi N. Subudhi3
1Prof. Ganesha H.S., Faculty at School of Rural Management, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India.
2Prof. L.K. Vaswani, was previously Director, KSRM, KIIT Deemed to be University, Bhubaneswar, Odisha, India.
3Prof. Rabi N. Subudhi, Senior Professor at School of Management, Kalinga Institute of Industrial Technology, Deemed to be University, Bhubaneswar, Odisha, India.
Manuscript received on September 17, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 3337-3341 | Volume-8 Issue-12, October 2019. | Retrieval Number: L28291081219/2019©BEIESP | DOI: 10.35940/ijitee.L2829.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Data Envelopment Analysis (DEA), an efficiency measurement and benchmarking technique originated in 1978 with the publication of the seminal paper of Charnes et al (1978) has evolved into an important technique over the years. This paper attempts to critically review the various methodological aspects of DEA for application in any domain in the public or private sectors. In specific it reviews some of the important literature available on a) variable selection methods in DEA, b) Sensitivity analysis and ranking of DMUs and c) some of the applications it has been put into over the last four decades. The focus is on specific practical aspects of applying DEA in any particular field.
Keywords: Efficiency Measurement, Data Envelopment Analysis (DEA), Returns to scale, Decision Making Units (DMU)
Scope of the Article: Measurement & Performance Analysis